Fleek
Fleek connects wholesale secondhand clothing suppliers with retailers and resellers, using AI for sorting, grading, pricing and merchandising.
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Podcast Episode
🎙️ Deep Dive
Fleek, Polysense, Finto — AI for resale, food factories and accounting — Daily News July 8, 2026
Listen to the episodeAbout Fleek
Fleek is a London-based startup founded in 2021 by Abhi Arora and Sanket Agarwal. The company operates a B2B marketplace for secondhand fashion, connecting wholesale suppliers with retailers, resellers and boutiques across more than 100 countries. In July 2026 it raised a $25M Series B led by Burda Principal Investments, with eBay, FJ Labs, H14 and existing investors including Andreessen Horowitz, HV Capital and Y Combinator. The capital will be used to scale its AI infrastructure for sorting, grading, pricing, merchandising and marketplace operations.
The Story
Founded in 2021 by Abhi Arora and Sanket Agarwal to make a still-manual secondhand supply chain more transparent, digital and scalable.
How Fleek works
Business Model
B2B marketplace with take-rate/commissions and software/AI-enabled services.
Revenue Model
Marketplace take-rate, commissions and potential connected software/logistics services.
Products & Services
Key Products
- Fleek marketplace
- Fleek Sort
- AI-native marketplace tools
Core Use Cases
- Secondhand clothing wholesale
- Textile sorting and grading
- Vintage sourcing
- AI-based merchandising
- Marketplace matching
- Circular fashion supply chain
Market & Clients
Key Customers
Wholesale suppliers, graders, retailers, resellers and boutiques; Tech.eu reports 2,000+ wholesale suppliers/graders and 50,000+ retailers/resellers/boutiques.
Geographic Presence
How Fleek competes
Competitors
Competitive Advantages
- B2B marketplace liquidity
- Fleek Sort proprietary AI model
- Transaction data from secondhand fashion marketplace
- Global supplier and buyer network
- Strategic investor eBay
How Fleek grows
Growth Strategy
Scale AI-native marketplace operations, expand buyer/supplier network, grow engineering and automate inventory processing, merchandising and buyer discovery.
Distribution Model
B2B marketplace connecting suppliers and resellers globally.
Moat (Defensibility)
Marketplace network effects, proprietary transaction and inventory data, AI classification models, supplier relationships and cross-border secondhand supply chain operations.
Regulatory Context
Relevant to textile waste policy, circular economy regulation, digital product passports and cross-border commerce.
Key Risks
- Quality consistency across heterogeneous inventory
- Operational complexity in cross-border secondhand trade
- Trust and dispute management
- Competition from existing resale platforms and marketplaces
- Reliance on supply-side digitisation adoption
Strategic Insights
- In physical marketplaces, AI can increase liquidity by turning non-standardised objects into structured data.
- Marketplace plus proprietary AI model creates a loop: more transactions, better classification, better matching.
- Participation from eBay and Burda reinforces the resale, marketplace and circular-commerce thesis.
Funding & Investors
Total Funding
Funding Rounds
- 2026 - Series B: $25M
Lead: Burda Principal Investments
Key Investors
Founding Team
Founders
Key Executives
- Abhi Arora - Co-founder & CEO
Key Metrics
Lessons from Fleek
- When supply is messy, the product is not only a marketplace: it is classification infrastructure.
- AI becomes more defensible when trained on proprietary transaction data.
- Value can emerge from unglamorous processes such as sorting, grading and pricing.
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